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| 基于神经网络的转炉冶炼终点硫含量预报模型 | |
| 引用本文： | 冯聚和,李秀娟,朱新华. 基于神经网络的转炉冶炼终点硫含量预报模型[J]. 钢铁研究, 2007, 35(2): 33-35 |
| 作者姓名： | 冯聚和 李秀娟 朱新华 |
| 作者单位： | 1. 河北理工大学,冶金与能源学院,河北,唐山,063009 2. 河北理工大学,学生处,河北,唐山,063009 |
| 摘 要： | 通过研究转炉冶炼终点硫含量的影响因素,确定了预报模型的控制变量,对常用的BP算法进行改进,建立了基于神经网络的终点硫含量预报模型.模型的预报结果接近动态控制模型的预报精度. |
| 关 键 词： | 转炉冶炼 终点硫含量 神经网络 预报模型 |
| 文章编号： | 1001-1447（2007）02-0033-03 |
| 修稿时间： | 2006-06-05 |
Prediction model of sulfur end-point content for oxygen converter based on neural network |
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| FENG Ju-he,LI Xiu-juan,ZHU Xin-hua. Prediction model of sulfur end-point content for oxygen converter based on neural network[J]. Research on Iron and Steel, 2007, 35(2): 33-35 | |
| Authors: | FENG Ju-he LI Xiu-juan ZHU Xin-hua |
| Affiliation: | 1. College of Metallurgy and Energy, Hebei polytechnic university, tangshan 063009, China; 2. Careers Guidance Office, Hebei polytechnic university, tangshan 063009, China |
| Abstract: | Based on analyzing the influence factors of sulfur end-point in converter,control variables for w(S) prediction were determined.A prediction model of sulfur end-point content was then developed using neural network method and improved BP algorithm.It seems that the prediction result is close to that with dynamic model. |
| Keywords: | converter steelmaking sulfur end-point content neural network prediction model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |